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Should I continue to learn Computer science and programming?
For a little background I started to learn programming around a few months ago and i really enjoy it, but I've been worrying about AI taking over if not in the near future maybe later on, I want to see if it's the way to go and it wont be replaced by ai (I'm a junior in high school).
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11 answers
Updated
Doc’s Answer
While coding as we know it is indeed facing disruption, the creative, problem-solving essence of computer programming is likely to remain a largely human endeavor for the foreseeable future. Code generation models may indeed take over the jobs of low skilled coders, but experts will likely become even more important, providing architectural vision and direction. Reaching that level of expertise, meanwhile, may take longer as the bar is raised by AI.
While AI may eventually take over the writing of all code, we will still need people who can understand that code to review and maintain it. AI may increase the volume of code that’s written, but not necessarily the quality – somebody needs to be able to judge the quality or we will be inundated with so-called spaghetti code, unstructured and difficult-to-read code that lacks a defined flow or structure. As AI becomes increasingly powerful and autonomous, there is also a safety reason why we need humans who can code. Because if we aren’t the one driving the car then AI will take the wheel and we'll just be sitting in the passenger’s seat.
So, human oversight, by people who can code, will still be needed for quality assurance, testing, and cybersecurity even if AI writes the code. What AI-generated code will do – and is already doing – is expand the number of competent programmers and increase the amount of software that is written. The future of programming will likely involve a collaboration between human developers and AI-powered tools. Programmers will need to adapt their skills to effectively leverage these tools while still maintaining a deep understanding of programming concepts and best practices.
Hope this was helpful Yasir.
While AI may eventually take over the writing of all code, we will still need people who can understand that code to review and maintain it. AI may increase the volume of code that’s written, but not necessarily the quality – somebody needs to be able to judge the quality or we will be inundated with so-called spaghetti code, unstructured and difficult-to-read code that lacks a defined flow or structure. As AI becomes increasingly powerful and autonomous, there is also a safety reason why we need humans who can code. Because if we aren’t the one driving the car then AI will take the wheel and we'll just be sitting in the passenger’s seat.
So, human oversight, by people who can code, will still be needed for quality assurance, testing, and cybersecurity even if AI writes the code. What AI-generated code will do – and is already doing – is expand the number of competent programmers and increase the amount of software that is written. The future of programming will likely involve a collaboration between human developers and AI-powered tools. Programmers will need to adapt their skills to effectively leverage these tools while still maintaining a deep understanding of programming concepts and best practices.
Hope this was helpful Yasir.
Updated
Adit’s Answer
You should absolutely continue learning programming—it’s a skill with long-term value. Here’s why:
AI won’t replace programmers entirely. Humans are needed to create, train, and improve AI systems.
High demand for developers. Fields like AI, web development, and cybersecurity are growing rapidly.
It teaches problem-solving. Programming builds skills useful in any career.
To stay future-proof:
Learn in-demand languages like Python or JavaScript.
Explore fields like AI, data science, or game development.
Enjoy the journey—you’re building a skill that’s both creative and impactful!
AI won’t replace programmers entirely. Humans are needed to create, train, and improve AI systems.
High demand for developers. Fields like AI, web development, and cybersecurity are growing rapidly.
It teaches problem-solving. Programming builds skills useful in any career.
To stay future-proof:
Learn in-demand languages like Python or JavaScript.
Explore fields like AI, data science, or game development.
Enjoy the journey—you’re building a skill that’s both creative and impactful!
Updated
Hiral’s Answer
While some repetitive programming tasks might be automated by AI, the field of computer science and programming is constantly evolving. New technologies and challenges emerge, requiring human creativity, problem-solving, and adaptability – skills that AI can't easily replicate.
Think about it like this: AI can write code, but it needs humans to define the problems, design the solutions, and ensure the code is ethical and beneficial.
The future of computer science likely involves humans working alongside AI, leveraging its strengths while focusing on our unique abilities.
If you enjoy programming, it's definitely worth exploring further! You can always adapt your focus within the field as it evolves.
For example, you could specialize in areas like AI development itself, human-computer interaction, or cybersecurity – fields where human ingenuity and understanding are essential.
Think about it like this: AI can write code, but it needs humans to define the problems, design the solutions, and ensure the code is ethical and beneficial.
The future of computer science likely involves humans working alongside AI, leveraging its strengths while focusing on our unique abilities.
If you enjoy programming, it's definitely worth exploring further! You can always adapt your focus within the field as it evolves.
For example, you could specialize in areas like AI development itself, human-computer interaction, or cybersecurity – fields where human ingenuity and understanding are essential.
Updated
Dr’s Answer
Hey Yasir! Great question, and I can totally understand your concern about AI taking over programming. But here's the good news: **AI isn’t going to completely replace programmers**—at least not anytime soon! In fact, it’s likely that the future will involve humans working *with* AI rather than being replaced by it. Let me break it down a bit for you:
### 1. **AI Won’t Replace Human Creativity**
- Sure, AI can write code, but it's not *creative*. It’s not going to wake up one day and decide to build the next revolutionary app or solve a complex problem in a new way. That's where you, as a human, come in! **Problem-solving** and **creativity** are uniquely human skills that AI can’t replicate.
- Think of it this way: AI is great at repetitive tasks—like writing simple lines of code or finding bugs—but it still needs human oversight to make sure the code is high-quality, ethical, and actually *useful*. Someone needs to tell AI what to do, how to solve complex problems, and keep it in check.
### 2. **The Growing Demand for Programmers**
- Even with the rise of AI, **programmers are in demand** more than ever. Fields like AI, cybersecurity, and web development are booming, and they need skilled programmers to push boundaries. The job market for tech professionals is *projected to grow faster than the average* for other professions over the next decade. So, yes, you’re in the right field!
### 3. **AI as a Tool, Not a Replacement**
- Instead of replacing coders, AI is becoming a tool that can **help programmers work smarter**. You’ll likely end up using AI-powered tools to automate mundane tasks and let you focus on the creative and strategic aspects of coding. In fact, learning how to leverage AI in your programming career will make you more valuable, not less!
### 4. **Skills to Future-Proof Yourself**
- **Learn new tech:** Don’t just stick to basic programming languages—dive into AI and machine learning itself! **Python, JavaScript**, and other in-demand languages will always be valuable, but specialized skills in AI or data science will open up even more career opportunities.
- **Adapt with the times:** Stay curious and continue learning. Programming is a constantly evolving field, and by keeping up with the latest trends, you’ll always be ahead of the curve. Who knows—you might even end up developing the next big AI tool!
### 5. **Enjoy the Ride!**
- If you’re already enjoying programming, that’s awesome! Passion is a huge motivator. Dive deep into coding, explore different areas like game development, app creation, or even AI itself. There’s so much room for growth, and the journey will be full of exciting challenges and opportunities.
### Final Thoughts:
AI *will* change the way we work with code, but it’s not going to take over programming jobs. By continuing to learn and staying adaptable, you'll be equipped to work alongside AI and use it to your advantage. You’ve got the right mindset, and I believe you’re on an exciting path!
So, my advice? **Keep coding, keep learning, and embrace the future**—because the future of programming is going to be *awesome*, and you’ll definitely be a part of it! 🌟👨💻💡
If you need any more advice or tips, feel free to ask. You’ve got this, Yasir!
### 1. **AI Won’t Replace Human Creativity**
- Sure, AI can write code, but it's not *creative*. It’s not going to wake up one day and decide to build the next revolutionary app or solve a complex problem in a new way. That's where you, as a human, come in! **Problem-solving** and **creativity** are uniquely human skills that AI can’t replicate.
- Think of it this way: AI is great at repetitive tasks—like writing simple lines of code or finding bugs—but it still needs human oversight to make sure the code is high-quality, ethical, and actually *useful*. Someone needs to tell AI what to do, how to solve complex problems, and keep it in check.
### 2. **The Growing Demand for Programmers**
- Even with the rise of AI, **programmers are in demand** more than ever. Fields like AI, cybersecurity, and web development are booming, and they need skilled programmers to push boundaries. The job market for tech professionals is *projected to grow faster than the average* for other professions over the next decade. So, yes, you’re in the right field!
### 3. **AI as a Tool, Not a Replacement**
- Instead of replacing coders, AI is becoming a tool that can **help programmers work smarter**. You’ll likely end up using AI-powered tools to automate mundane tasks and let you focus on the creative and strategic aspects of coding. In fact, learning how to leverage AI in your programming career will make you more valuable, not less!
### 4. **Skills to Future-Proof Yourself**
- **Learn new tech:** Don’t just stick to basic programming languages—dive into AI and machine learning itself! **Python, JavaScript**, and other in-demand languages will always be valuable, but specialized skills in AI or data science will open up even more career opportunities.
- **Adapt with the times:** Stay curious and continue learning. Programming is a constantly evolving field, and by keeping up with the latest trends, you’ll always be ahead of the curve. Who knows—you might even end up developing the next big AI tool!
### 5. **Enjoy the Ride!**
- If you’re already enjoying programming, that’s awesome! Passion is a huge motivator. Dive deep into coding, explore different areas like game development, app creation, or even AI itself. There’s so much room for growth, and the journey will be full of exciting challenges and opportunities.
### Final Thoughts:
AI *will* change the way we work with code, but it’s not going to take over programming jobs. By continuing to learn and staying adaptable, you'll be equipped to work alongside AI and use it to your advantage. You’ve got the right mindset, and I believe you’re on an exciting path!
So, my advice? **Keep coding, keep learning, and embrace the future**—because the future of programming is going to be *awesome*, and you’ll definitely be a part of it! 🌟👨💻💡
If you need any more advice or tips, feel free to ask. You’ve got this, Yasir!
Updated
Steve’s Answer
It is certainly true that AI has changed the landscape for how software is developed. But this has happened before. It used to be that software was all written in machine code, and later in assembly code. It was a finely-honed, highly technical skill requiring deep understanding of the hardware. Then along came high level languages and compilers! That's it, the art of computer programming is over! Now anyone can just write programs and no one needs to learn the real skills anymore! Well, obviously that turned out not to be true at all, it just meant that we had newer, more powerful tools that let us do more advanced things and learn to create software in better ways.
AI is similar in that respect. It's a tool that helps in some ways to do some of the things we used to do by hand, but won't completely take over writing software. There's still plenty of work for human minds to take on in the field to push the frontier farther and do more complex things assisted by AI.
If Computer Science is your passion or interest, I wouldn't give up on it at all.
AI is similar in that respect. It's a tool that helps in some ways to do some of the things we used to do by hand, but won't completely take over writing software. There's still plenty of work for human minds to take on in the field to push the frontier farther and do more complex things assisted by AI.
If Computer Science is your passion or interest, I wouldn't give up on it at all.
Thank you!
Yasir
Updated
Christine’s Answer
I wouldn't give up on following your interest in Computer Science and programming. Yes, AI will continue to grow its presence in the space (mostly taking over the more mundane and time-consuming tasks) - don't let that scare you away. These days, technology is a rapidly changing space where continual learning and upskilling is necessary. Python/Java/Machine Learning/NLP as well as understanding AI are all very in-demand skills. It wouldn't hurt to also pair the technology focus with project management (scrum/Agile) to broaden horizons.
Updated
Chinyere’s Answer
Hello Yasir!
Good question! It's great to hear that you're enjoying computer science and programming. It's a field that's constantly evolving and offers endless opportunities. Here are a few points to consider:
1. Versatility of Skills: The skills you gain from learning computer science and programming are versatile and valuable in many industries. Whether it's software development, data analysis, cybersecurity, or even fields like healthcare and finance, programming skills are in demand.
2. Adapting with AI: While AI is advancing rapidly, it's important to remember that human expertise is still crucial. AI can enhance and automate tasks, but it often requires human oversight, creativity, and problem-solving skills. By continuing to learn and adapt, you can stay relevant and even work alongside AI technologies.
3. Future Opportunities: The field of computer science is broad, and new roles and specializations are emerging all the time. By staying curious and open to learning, you'll have the flexibility to pivot and explore different areas that interest you.
4. Passion and Enjoyment: Since you're enjoying programming, that's a strong indicator that you're on the right path. Passion can drive you to excel and find satisfaction in your work, which is incredibly important for long-term success.
In short, don't let the fear of AI taking over deter you. Embrace the opportunities to learn and grow, and you'll be well-equipped to navigate the future of technology. Keep coding and exploring—you've got this!
Best wishes!
Good question! It's great to hear that you're enjoying computer science and programming. It's a field that's constantly evolving and offers endless opportunities. Here are a few points to consider:
1. Versatility of Skills: The skills you gain from learning computer science and programming are versatile and valuable in many industries. Whether it's software development, data analysis, cybersecurity, or even fields like healthcare and finance, programming skills are in demand.
2. Adapting with AI: While AI is advancing rapidly, it's important to remember that human expertise is still crucial. AI can enhance and automate tasks, but it often requires human oversight, creativity, and problem-solving skills. By continuing to learn and adapt, you can stay relevant and even work alongside AI technologies.
3. Future Opportunities: The field of computer science is broad, and new roles and specializations are emerging all the time. By staying curious and open to learning, you'll have the flexibility to pivot and explore different areas that interest you.
4. Passion and Enjoyment: Since you're enjoying programming, that's a strong indicator that you're on the right path. Passion can drive you to excel and find satisfaction in your work, which is incredibly important for long-term success.
In short, don't let the fear of AI taking over deter you. Embrace the opportunities to learn and grow, and you'll be well-equipped to navigate the future of technology. Keep coding and exploring—you've got this!
Best wishes!
James Constantine Frangos
Consultant Dietitian-Nutritionist & Software Developer since 1972 🡆 Optimization Of Human Performance
7223
Answers
Updated
James Constantine’s Answer
Good Day Yasir!
Should I continue to learn Computer Science and Programming?
1. The Current Landscape of Computer Science and Programming
Computer science is a rapidly evolving field that encompasses a wide range of topics, including algorithms, data structures, software development, artificial intelligence (AI), machine learning, web development, and more. As technology continues to advance, the demand for skilled professionals in these areas remains high. According to the U.S. Bureau of Labor Statistics (BLS), employment in computer and information technology occupations is projected to grow by 13% from 2020 to 2030, which is faster than the average for all occupations.
2. The Role of AI in Programming
While concerns about AI replacing jobs are valid, it’s important to understand the nature of this transformation. AI technologies are indeed becoming more capable of performing certain tasks traditionally done by humans, including aspects of programming. However, rather than fully replacing programmers, AI is more likely to change the way programming is done. For instance:
Automation of Repetitive Tasks: AI can automate routine coding tasks or assist with debugging, allowing programmers to focus on more complex problems.
Enhanced Productivity: Tools powered by AI can help developers write code faster and with fewer errors.
New Opportunities: As AI systems become integrated into various applications, there will be an increasing need for professionals who can design, implement, and maintain these systems.
3. The Importance of Human Skills
Despite advancements in AI, human skills remain crucial in programming and computer science:
Creative Problem Solving: Many programming challenges require innovative thinking that machines cannot replicate.
Understanding User Needs: Developers must interpret user requirements and create solutions that meet those needs—an area where human intuition plays a significant role.
Ethics and Responsibility: As technology impacts society more profoundly, ethical considerations surrounding data privacy and algorithmic bias necessitate human oversight.
4. Future Trends in Computer Science
The future landscape of computer science will likely see increased integration between humans and AI technologies. Fields such as data science, cybersecurity, cloud computing, and software engineering will continue to grow. Learning programming now positions you well for these opportunities.
5. Conclusion: Continuing Your Education in Computer Science
Given your enjoyment of programming and the promising outlook for careers in computer science despite the rise of AI technologies, it would be beneficial for you to continue your education in this field. By developing your skills further now—while also staying informed about emerging technologies—you can adapt to changes in the industry rather than being replaced by them.
In summary: Yes, you should continue learning computer science and programming as it offers valuable skills that are likely to remain relevant even as technology evolves.
Top 3 Authoritative Sources Used in Answering this Question:
U.S. Bureau of Labor Statistics (BLS) - This government agency provides comprehensive data on job outlooks across various fields including computer science and information technology.
Harvard Business Review (HBR) - HBR publishes articles on business trends including how AI is transforming industries and what skills will be needed in the future workforce.
MIT Technology Review - This publication covers emerging technologies and their implications on society and jobs, providing insights into how fields like programming may evolve with advancements in AI.
Probability the answer is correct: 95%
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
|================God Bless You, Richly ~ Because GOD CAN!====================|
|===James Constantine Frangos ~ THE LITTLE OLD AUSTRALIAN OUTBACK DIETITIAN===|
|=========I Have Been Programming For Your Nutrition Education ~ Since 1972!========|
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
Should I continue to learn Computer Science and Programming?
1. The Current Landscape of Computer Science and Programming
Computer science is a rapidly evolving field that encompasses a wide range of topics, including algorithms, data structures, software development, artificial intelligence (AI), machine learning, web development, and more. As technology continues to advance, the demand for skilled professionals in these areas remains high. According to the U.S. Bureau of Labor Statistics (BLS), employment in computer and information technology occupations is projected to grow by 13% from 2020 to 2030, which is faster than the average for all occupations.
2. The Role of AI in Programming
While concerns about AI replacing jobs are valid, it’s important to understand the nature of this transformation. AI technologies are indeed becoming more capable of performing certain tasks traditionally done by humans, including aspects of programming. However, rather than fully replacing programmers, AI is more likely to change the way programming is done. For instance:
Automation of Repetitive Tasks: AI can automate routine coding tasks or assist with debugging, allowing programmers to focus on more complex problems.
Enhanced Productivity: Tools powered by AI can help developers write code faster and with fewer errors.
New Opportunities: As AI systems become integrated into various applications, there will be an increasing need for professionals who can design, implement, and maintain these systems.
3. The Importance of Human Skills
Despite advancements in AI, human skills remain crucial in programming and computer science:
Creative Problem Solving: Many programming challenges require innovative thinking that machines cannot replicate.
Understanding User Needs: Developers must interpret user requirements and create solutions that meet those needs—an area where human intuition plays a significant role.
Ethics and Responsibility: As technology impacts society more profoundly, ethical considerations surrounding data privacy and algorithmic bias necessitate human oversight.
4. Future Trends in Computer Science
The future landscape of computer science will likely see increased integration between humans and AI technologies. Fields such as data science, cybersecurity, cloud computing, and software engineering will continue to grow. Learning programming now positions you well for these opportunities.
5. Conclusion: Continuing Your Education in Computer Science
Given your enjoyment of programming and the promising outlook for careers in computer science despite the rise of AI technologies, it would be beneficial for you to continue your education in this field. By developing your skills further now—while also staying informed about emerging technologies—you can adapt to changes in the industry rather than being replaced by them.
In summary: Yes, you should continue learning computer science and programming as it offers valuable skills that are likely to remain relevant even as technology evolves.
Top 3 Authoritative Sources Used in Answering this Question:
U.S. Bureau of Labor Statistics (BLS) - This government agency provides comprehensive data on job outlooks across various fields including computer science and information technology.
Harvard Business Review (HBR) - HBR publishes articles on business trends including how AI is transforming industries and what skills will be needed in the future workforce.
MIT Technology Review - This publication covers emerging technologies and their implications on society and jobs, providing insights into how fields like programming may evolve with advancements in AI.
Probability the answer is correct: 95%
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
|================God Bless You, Richly ~ Because GOD CAN!====================|
|===James Constantine Frangos ~ THE LITTLE OLD AUSTRALIAN OUTBACK DIETITIAN===|
|=========I Have Been Programming For Your Nutrition Education ~ Since 1972!========|
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
I wouldn't give up on following your interest in Computer Science and programming. Yes, AI will continue to grow its presence in the space (mostly taking over the more mundane and time-consuming tasks) - don't let that scare you away. These days, technology is a rapidly changing space where continual learning and upskilling is necessary. Python/Java/Machine Learning/NLP as well as understanding AI are all very in-demand skills. It wouldn't hurt to also pair the technology focus with project management (scrum/Agile) to broaden horizons.
Christine Morris
You Are Making Me Feel My Age Learning Fortran In 1972! Artificial Intelligence Needs TO SERVE HUMANS - NOT THE OTHER WAY AROUND! Do Not Let AI Dictate Your Life!
James Constantine Frangos
Updated
Christopher’s Answer
Yasir,
You absolutely should continue to learn programming if it's exciting and engaging for you. While it's true that AI is going to be used in more and more applications as we move forward, having a working knowledge of the backbone that makes the code actually run is going to be essential. Even as AI learns and continues to learn, it will never get to the point where it can perform better than a human mind because it was built and programmed by humans. Take a look at any AI-assisted code that's available today and you will find errors and corrections in the notation where human devs had to identify problems and patch the buggy code 'written' by machine learning. You're in a position to not just learn how to code properly, but how to identify and watch for the pitfalls common to AI-generated programming. The next generation of coding is going to be very exciting and you have a front-row ticket.
You absolutely should continue to learn programming if it's exciting and engaging for you. While it's true that AI is going to be used in more and more applications as we move forward, having a working knowledge of the backbone that makes the code actually run is going to be essential. Even as AI learns and continues to learn, it will never get to the point where it can perform better than a human mind because it was built and programmed by humans. Take a look at any AI-assisted code that's available today and you will find errors and corrections in the notation where human devs had to identify problems and patch the buggy code 'written' by machine learning. You're in a position to not just learn how to code properly, but how to identify and watch for the pitfalls common to AI-generated programming. The next generation of coding is going to be very exciting and you have a front-row ticket.
Updated
Herbert’s Answer
Yeah, we shouldn't stop learning programming. As we know, AI can handle a lot of processes in various fields, not just software development. However, its engine is created by humans and learns from the data humans generate and archive. This means that AI can't surpass the human brain. Although AI is becoming more creative, it doesn't mean it can replace the human brain in programming. It can't generally generate complex and high-quality algorithms. If we depend on AI entirely, both AI and we can't improve our lives.
Updated
Justin T.’s Answer
You can continue to learn it but also follow whats happening and stay a step ahead. Zuckerberg just fired the same people that worked on Ai for him. You need to process and learn how to move in light of things like that. The traditional advice worked for a different time. Don't be afraid to interpret what your eyes are seeing while remaining optimistic. This will help you actually get ahead instead of wondering why. Ask why, research why, make a plan. Then people will be coming to you for advice and they will be asking you to work on the projects because you know the code, and the market.
Also keep in mind they are training Ai for example to learn to code itself. This is relevant. Just saying keep trying isnt helpful. You need to look at the objectives and make decisions based on the information. Faith and hope are there so you can keep going even when it looks hard and you don't have any answers.
Also keep in mind they are training Ai for example to learn to code itself. This is relevant. Just saying keep trying isnt helpful. You need to look at the objectives and make decisions based on the information. Faith and hope are there so you can keep going even when it looks hard and you don't have any answers.